{"id":"W4221112361","doi":"10.1016/s0735-1097(22)02108-8","title":"CONTEMPORARY INCIDENCE AND PREDICTORS OF LEFT VENTRICULAR THROMBUS IN PATIENTS WITH ANTERIOR ACUTE MYOCARDIAL INFARCTION AND NEW ANTERO-APICAL WALL MOTION ABNORMALITIES","year":2022,"lang":"en","type":"article","venue":"Journal of the American College of Cardiology","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; Montreal Heart Institute","funders":"","keywords":"Medicine; Cardiology; Left ventricular thrombus; Internal medicine; Myocardial infarction; Incidence (geometry); Thrombus; Electrocardiography in myocardial infarction; Anterior wall; Geometry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006396171,0.0003274963,0.0005270633,0.001310911,0.0005265797,0.001482967,0.0006226797,0.001415937,0.002633848],"category_scores_gemma":[0.003925949,0.0004315427,0.0006225013,0.001645471,0.0006175122,0.001574414,0.0006474803,0.001591985,0.0004934432],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003169303,"about_ca_system_score_gemma":0.0004041999,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001916684,"about_ca_topic_score_gemma":0.002813736,"domain_scores_codex":[0.999443,0.00008246555,0.00008951739,0.0001384477,0.0001261327,0.000120394],"domain_scores_gemma":[0.9969248,0.0007601512,0.001203097,0.0002374182,0.000231966,0.0006426049],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001105122,0.00002844105,0.99884,0.000004225175,0.00003595155,0.00011741,0.00002409135,0.00002269924,0.00008151197,0.00003009685,0.00005524646,0.0006498035],"study_design_scores_gemma":[0.000007215751,0.00005161625,0.9988207,0.000004407167,0.00003545017,0.0005169788,0.000142513,0.0002158168,0.00002425052,0.00006482426,0.0001112002,0.000004912341],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996888,0.001056458,0.0001339393,0.0002099455,0.00003254565,0.000005556594,0.0003477055,0.000007358778,0.001318513],"genre_scores_gemma":[0.9988668,0.0003703165,0.00007341953,0.00004516346,0.0001243361,0.000005379985,0.000385368,0.000002741036,0.0001265959],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002633848,"threshold_uncertainty_score":0.008811057,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006645699320507286,"score_gpt":0.2262913713297325,"score_spread":0.2196456720092252,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}